LTX 2.3 Release: What's New in Lightricks' Latest Video Model
Stay updated with the latest developments in the LTX 2.3 ecosystem.
LTX 2.3 Release: What's New in Lightricks' Latest Video Model
Lightricks has officially released LTX 2.3, the latest iteration of their groundbreaking text-to-video AI model. Here's everything you need to know about this major update.
Key Improvements
Enhanced Video Quality
LTX 2.3 delivers significant improvements over previous versions:
- Higher resolution support: Native 1024x576 generation
- Better temporal consistency: Reduced flickering and artifacts
- Improved motion: More natural and fluid movements
- Enhanced detail: Sharper textures and better fine details
New Model Formats
The release includes multiple optimized formats:
- FP16 (32GB VRAM): Full precision, maximum quality
- FP8 (16GB VRAM): 50% smaller, minimal quality loss
- GGUF Q4 (8GB VRAM): Quantized, accessible on consumer GPUs
- Distilled (12GB VRAM): Faster inference, good quality
Performance Optimizations
- 30% faster generation on FP8 format
- Reduced VRAM requirements across all formats
- Better ComfyUI integration
- Improved prompt understanding
What's Changed
Model Architecture
LTX 2.3 introduces several architectural improvements:
- Enhanced VAE: Better compression and reconstruction
- Improved attention mechanism: More efficient processing
- Optimized transformer blocks: Faster inference
- Better text encoder: More accurate prompt interpretation
Training Data
The model was trained on:
- Larger and more diverse video dataset
- Higher quality source material
- Better temporal annotations
- Improved prompt-video alignment
Community Response
Early adopters are reporting impressive results:
"The quality jump from 2.0 to 2.3 is incredible. Motion is so much smoother!" - ComfyUI User
"Finally can run it on my 16GB card with FP8. Game changer." - Reddit r/StableDiffusion
"Prompt adherence is noticeably better. Getting exactly what I ask for." - Discord Community
Technical Specifications
| Specification | LTX 2.3 |
|---|---|
| Parameters | 22B |
| Max Resolution | 1024x576 |
| Frame Range | 97-241 frames |
| Context Length | 512 tokens |
| Training Steps | 2.5M |
| Release Date | April 2026 |
Breaking Changes
Important for existing users:
- New VAE required (
taeltx2_3.safetensors) - Updated ComfyUI nodes (update to latest version)
- Different optimal CFG scale (7-10 recommended)
- Changed frame count defaults
Migration Guide
If you're upgrading from LTX 2.0:
1. Download new VAE: taeltx2_3.safetensors
2. Update ComfyUI to latest version
3. Download preferred model format (FP8/FP16/GGUF)
4. Update workflows to use new nodes
5. Adjust CFG scale to 7-10 range
LoRA Support
LTX 2.3 maintains full LoRA compatibility:
- Train custom styles on 20-50 videos
- Apply at 0.6-0.8 strength
- Combine multiple LoRAs
- Faster training than previous versions
Benchmark Results
Compared to LTX 2.0:
Quality Score: +23%
Motion Smoothness: +31%
Prompt Accuracy: +18%
Generation Speed: +30% (FP8)
VRAM Usage: -20% (FP8)
What's Next
Lightricks has announced:
- LoRA marketplace: Coming Q2 2026
- Image-to-video improvements: In development
- Longer video support: 480+ frames planned
- Real-time preview: Experimental feature
Getting Started
New to LTX 2.3? Check out:
Join the Community
- Discord: Share your creations and get help
- GitHub: Report issues and contribute
- Reddit: r/LTXVideo discussions
- Twitter: @LTXVideo updates
Resources
Stay tuned for more updates!